Single GPS receiver time-relative positioning with loop misclosure corrections

Time-relative positioning makes use of observations taken at two different epochs and stations with a single global positioning system (GPS) receiver to determine the position of the unknown station with respect to the known station. The limitation of this method is the degradation over time of the positioning accuracy due to the temporal variation of GPS errors (ionospheric delay, satellite clock corrections, satellite ephemerides, and tropospheric delay). The impact of these errors is significantly reduced by adding to the one-way move from the known to the unknown station, a back move to the known station. A loop misclosure is computed from the coordinates obtained at the known station at the beginning and at the end of the loop, and is used to correct the coordinates of the unknown station. The field tests, presented in this paper, show that using the loop misclosure corrections, time-relative positioning accuracy can be improved by about 60% when using single frequency data, and by about 40% with dual frequency data. For a 4-min processing interval (an 8-min loop) and a 95% probability level, errors remain under 20 cm for the horizontal components and 36 cm for the vertical component with single frequency data; and under 11 cm for the horizontal components and 29 cm for the vertical component with dual frequency data.     

GPS接收机工作原理及发展现状

根据GPS接收机的工作原理,分为连续接收机、序贯接收机和多元接收机。讨论了接收机的应用分类,分别为高精度测量型接收机,导航接收机及授时型接收机。根据GPS卫星信号的情况,介绍了GPS接收机的性能指标。根据GNSS的发展现状和卫星信号的实施论述了新一代多模双频接收机指标,根据测试结果证明：这种接收机将是未来GPS接收机的发展方向。     

基于GPS软件接收机的抗窄带干扰方法

针对硬件接收机中传统抗干扰方法成本高、体积大、功率大和环境受限等问题,提出了用GPS软件接收机作为抗干扰算法研究平台,用子空间分解的时域滤波法和频域滤波法消除窄带干扰,其中频域滤波法中干扰频率分量置零有时会引起信号在时域波形畸变。为了解决该问题,提出了用广义延拓插值法,得到干扰频带去除干扰后的广义延拓插值估计信号。实验仿真结果表明,两种方法都能有效而可靠地去除窄带干扰,基于广义延拓插值的频域滤波法更显其优越性。     

声波探测技术在海底输油管道检测中的应用

介绍了多波束测深系统、侧扫声纳和浅地层剖面等声波探测技术的基本原理及在海底管道检测中常用设备与参数选择。结合工程实例给出了各种检测方法在海底输油管道检测中应用效果。介绍了海底管道检测流程,分析了各种检测方法的优缺点和不足之处。结果表明,海底管道检测时应充分利用各种方法的互补性,提高检测效率和准确性。     

Robust dual‐sensor data sea‐surface ghost attenuation for quality control purposes

Three‐dimensional receiver ghost attenuation (deghosting) of dual‐sensor towed‐streamer data is straightforward, in principle. In its simplest form, it requires applying a three‐dimensional frequency–wavenumber filter to the vertical component of the particle motion data to correct for the amplitude reduction on the vertical component of non‐normal incidence plane waves before combining with the pressure data. More elaborate techniques use three‐dimensional filters to both components before summation, for example, for ghost wavelet dephasing and mitigation of noise of different strengths on the individual components in optimum deghosting. The problem with all these techniques is, of course, that it is usually impossible to transform the data into the crossline wavenumber domain because of aliasing. Hence, usually, a two‐dimensional version of deghosting is applied to the data in the frequency–inline wavenumber domain. We investigate going down the “dimensionality ladder” one more step to a one‐dimensional weighted summation of the records of the collocated sensors to create an approximate deghosting procedure. We specifically consider amplitude‐balancing weights computed via a standard automatic gain control before summation, reminiscent of a diversity stack of the dual‐sensor recordings. This technique is independent of the actual streamer depth and insensitive to variations in the sea‐surface reflection coefficient. The automatic gain control weights serve two purposes: (i) to approximately correct for the geometric amplitude loss of the Z data and (ii) to mitigate noise strength variations on the two components. Here, Z denotes the vertical component of the velocity of particle motion scaled by the seismic impedance of the near‐sensor water volume. The weights are time‐varying and can also be made frequency‐band dependent, adapting better to frequency variations of the noise. The investigated process is a very robust, almost fully hands‐off, approximate three‐dimensional deghosting step for dual‐sensor data, requiring no spatial filtering and no explicit estimates of noise power. We argue that this technique performs well in terms of ghost attenuation (albeit, not exact ghost removal) and balancing the signal‐to‐noise ratio in the output data. For instances where full three‐dimensional receiver deghosting is the final product, the proposed technique is appropriate for efficient quality control of the data acquired and in aiding the parameterisation of the subsequent deghosting processing.     

小孔径台阵垂直分量P波接收函数研究及应用

尝试用垂直分量P波接收函数技术,分离莫霍面多次反射透射震相PpPmp,以此确定台阵下方的地壳厚度．利用兰州小孔径台阵记录的16次深远地震资料,分离了PpPmp震相,根据其到时计算台阵下方的地壳厚度约(51.6plusmn;1.8) km,与前人研究结果一致．      

电离层不规则结构漂移的GPS测量及其初步结果

本文阐述了利用GPS接收机台阵测量到的闪烁和TEC变化率ROT快速起伏图样估计F层不规则结构漂移的原理和方法,并利用实测数据估计了静日和暴时电离层不规则结构的水平漂移速度.短间距台网和超短间距台链观测实例的计算结果表明,暴时武汉地区引起TEC快速起伏的电离层不规则结构沿纬圈向西漂移,21∶30至03∶00 LT,西向漂移速度在约40 m/s至130 m/s的范围内变化;在桂林地区,磁静日午夜前后引起L波段电波闪烁的电离层不规则结构沿纬圈向东漂移,漂移速度从约70 m/s下降到约55 m/s,磁扰日午夜前不规则结构向西漂移,速度从约150 m/s下降到约50 m/s,午夜后转为向东漂移,速度从约25 m/s上升到约65 m/s.文中还提出了由单站多卫星观测估计F层不规则结构漂移的设想.实例分析与计算结果表明,利用单站多卫星观测估计电离层不规则结构漂移是一种合理可行的方法.     

GPS接收机的中频信号处理算法研究

该文对GPS接收机的中频信号处理算法进行了研究,内容主要涉及信号捕获、载波恢复和伪码跟踪3部分,详细分析了信号捕获过程中所采用的匹配滤波器法、快速傅里叶算法(FFT)、锁频环(FLL)、锁相环(PLL)以及延迟锁定环(DLL)的算法原理,并对环路滤波器作了相应的阐述,给出环路对应的递推公式．     

基于改进BP神经网络的海底底质分类

通过采用遗传算法优化神经网络初始权值的方法,将GA算法与BP神经网络有机结合,应用于海底底质分类。基于多波束测深系统获取的反向散射强度数据,应用改进的BP神经网络分类方法,实现对海底基岩、砾石、砂、细砂和泥等底质类型的快速、准确识别。通过实验比较,GA-BP神经网络分类精度明显高于BP神经网络,证明了该方法的有效性和可靠性。     

基于低成本单频u-blox接收机的GPS/BDS定向性能分析

针对高精度GNSS定向应用场景,通过实验对比对低成本单频u-blox接收机的数据质量和解算精度。结果表明,u-blox接收机GPS、BDS观测值的信噪比略低于测量型接收机;伪距精度分别为0.91 m、0.56 m,相位精度分别为1.35 cm、1.20 cm。在静态观测环境下,u-blox的定向精度可以达到航向0.2°/m和俯仰0.4°/m;动态环境下解算结果稍差,但也可以达到航向0.3°/m和俯仰0.6°/m,略低于高成本测量型接收机单频数据的实时动态定向精度。